Triple
T11783869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Płońsk County |
E280219
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Dzierzążnia
Dzierzążnia is a village in east-central Poland that serves as a local rural settlement within Płońsk County in the Masovian Voivodeship.
|
E985911
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dzierzążnia | Statement: [Płońsk County, containsSettlement, Dzierzążnia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dzierzążnia Context triple: [Płońsk County, containsSettlement, Dzierzążnia]
-
A.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
B.
Pyrzyce
Pyrzyce is a historic town in northwestern Poland known for its medieval fortifications and location within the West Pomeranian region.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Dzierżęcinka
Dzierżęcinka is a small river in northwestern Poland that flows through the city of Koszalin before reaching the Baltic Sea.
-
E.
Orzysz
Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dzierzążnia Triple: [Płońsk County, containsSettlement, Dzierzążnia]
Generated description
Dzierzążnia is a village in east-central Poland that serves as a local rural settlement within Płońsk County in the Masovian Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dzierzążnia Target entity description: Dzierzążnia is a village in east-central Poland that serves as a local rural settlement within Płońsk County in the Masovian Voivodeship.
-
A.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
-
B.
Pyrzyce
Pyrzyce is a historic town in northwestern Poland known for its medieval fortifications and location within the West Pomeranian region.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Dzierżęcinka
Dzierżęcinka is a small river in northwestern Poland that flows through the city of Koszalin before reaching the Baltic Sea.
-
E.
Orzysz
Orzysz is a small town in northeastern Poland known for its lakeside setting and proximity to extensive forests and military training grounds.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a585795c8190aa8a5edf0d99b47f |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b7cc0808190875d36fe978e4326 |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64c7c5d04819094fcbee0a4b5cbb4 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:42 p.m.